Evidence map›Paper›PMID 30108570›Full record

ArticleFrontiers in microbiology2018

Metagenomic Analysis of Bacteria, Fungi, Bacteriophages, and Helminths in the Gut of Giant Pandas.

Shengzhi Yang, Xin Gao, Jianghong Meng, Anyun Zhang, Yingmin Zhou, Mei Long, Bei Li, Wenwen Deng, Lei Jin, Siyue Zhao and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 2 countries.

Shengzhi YangDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, China.
Xin GaoDepartment of Nutrition and Food Science, University of Maryland, College Park, College Park, MD, United States.
Jianghong MengDepartment of Nutrition and Food Science, University of Maryland, College Park, College Park, MD, United States.
Anyun ZhangCollege of Life Sciences, Sichuan University, Chengdu, China.
Yingmin ZhouThe China Conservation and Research Center for the Giant Panda, Wolong, China.
Mei LongDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, China.
Bei LiDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, China.
Wenwen DengDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, China.
Lei JinDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, China.
Siyue ZhaoDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, China.
Daifu WuThe China Conservation and Research Center for the Giant Panda, Wolong, China.
Yongguo HeThe China Conservation and Research Center for the Giant Panda, Wolong, China.
Caiwu LiThe China Conservation and Research Center for the Giant Panda, Wolong, China.
Shuliang LiuCollege of Food Science, Sichuan Agricultural University, Ya'an, China.
Yan HuangThe China Conservation and Research Center for the Giant Panda, Wolong, China.
Hemin ZhangThe China Conservation and Research Center for the Giant Panda, Wolong, China.
Likou ZouDepartment of Applied Microbiology, College of Resources, Sichuan Agricultural University, Chengdu, China.
Sichuan Agricultural University · CNChengdu Research Base of Giant Panda Breeding · CNUniversity of Maryland, College Park · USSichuan University · CNState Forestry and Grassland Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To obtain full details of gut microbiota, including bacteria, fungi, bacteriophages, and helminths, in giant pandas (GPs), we created a comprehensive microbial genome database and used metagenomic sequences to align against the database. We delineated a detailed and different gut microbiota structures of GPs. A total of 680 species of bacteria, 198 fungi, 185 bacteriophages, and 45 helminths were found. Compared with 16S rRNA sequencing, the dominant bacterium phyla not only included Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria but also Cyanobacteria and other eight phyla. Aside from Ascomycota, Basidiomycota, and Glomeromycota, Mucoromycota, and Microsporidia were the dominant fungi phyla. The bacteriophages were predominantly dsDNA Myoviridae, Siphoviridae, Podoviridae, ssDNA Inoviridae, and Microviridae. For helminths, phylum Nematoda was the dominant. In addition to previously described parasites, another 44 species of helminths were found in GPs. Also, differences in abundance of microbiota were found between the captive, semiwild, and wild GPs. A total of 1,739 genes encoding cellulase, β-glucosidase, and cellulose β-1,4-cellobiosidase were responsible for the metabolism of cellulose, and 128,707 putative glycoside hydrolase genes were found in bacteria/fungi. Taken together, the results indicated not only bacteria but also fungi, bacteriophages, and helminths were diverse in gut of giant pandas, which provided basis for the further identification of role of gut microbiota. Besides, metagenomics revealed that the bacteria/fungi in gut of GPs harbor the ability of cellulose and hemicellulose degradation.

Indexed as

bacteriabacteriophagesfungigiant pandashelminthsmetagenomic sequencing

Identifiers

PMID30108570
PMCPMC6080571
OpenAlexW2883569881

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.